The influence factors analysis of households' poverty vulnerability in southwest ethnic areas of China based on the hierarchical linear model: A case study of Liangshan Yi autonomous prefecture. (January 2016)

• Record Type: Journal Article
• Authors: Cao, Mengtian; Xu, Dingde; Xie, Fangting; Liu, Enlai; Liu, Shaoquan
• Is Part Of: Applied geography. Volume 66(2016:Jan.)
• Page Start: 144
• Page End: 152
• Publication Date: 2016-01
• Subjects: Poverty vulnerability -- Hierarchical linear model -- Rural households -- Liangshan Yi autonomous prefecture -- Sichuan province China; Geography -- Periodicals; Human geography -- Periodicals; Human ecology -- Periodicals; 910
• DOI: 10.1016/j.apgeog.2015.11.016
• Languages: English
• ISSNs: 0143-6228

Abstract

Abstract: Currently, vulnerable poverty has become the main factor that constrains ethnic minority area development and the improvement of rural household living standards in China. This study examines the Liangshan Yi Autonomous Prefecture with reference to the existing research framework and employs a complete two-layer linear model to identify critical factors that affect rural household poverty vulnerability levels. The model results show that critical variables affecting poverty vulnerability at the household level include Laborers scale, Laborers education, House scale, Value of a house, Disease costs and Disaster loss. Of these, House scale has a negative effect on the dependent variable, while the remaining variables have positive effects. At the village level, critical variables of poverty vulnerability include Poverty village, Poverty proiect, Yi village, Village road mileage and The distance from villages to the center of towns. In using this method, a simultaneous measure for households that employs both family and village level variables was achieved, enabling an investigation of impacts across these two layers. These results are critical to the future of poverty alleviation in China's ethnic minority regions. Accordingly, some policy suggestions were provided based on this results. Highlights: We select Liangshan Yi Autonomous Prefecture as a case study. We apply hierarchical linear model to identify factors of poverty vulnerability. Only House Scale variable has a negative effect at Household level. Village level variables have overall significant effect. The model results are useful for poverty alleviation policy.